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Full Time Azure Data Factory Jobs in Washington, DC

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Azure Data Factory * Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, ...

Booz Allen Hamilton

Azure Data Engineer

Mclean, VA · On-site

$62K - $141K/yr

... Data Factory and Azure Databricks * 3+ years of experience with direct development using Azure ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

Azure Data Factory * Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

Azure Data Factory * Databricks Notebooks * Data Pipelines * Infrastructure Components * Platform Services * Establish deployment standards and environment promotion processes across Development, QA, ...

CREATIVE GLOBAL CONSULTING

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

By providing specialized expertise in Azure Synapse, Azure Data Factory, ETL/ELT processes, Azure networking, private endpoints, data integration, cloud data architecture, performance optimization ...

Booz Allen Hamilton

Data Architect

Springfield, VA · On-site

$99K - $225K/yr

Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

CTC

Azure Database Engineer- 3637535

Rosslyn, VA · Hybrid

This will be a full-time, HYBRID position (1-2 days onsite). With offices in Washington DC and ... Experience with Azure Data Factory and SHIR. * Experience automating database deployments and ...

Booz Allen Hamilton, Inc.

Data Architect

Springfield, VA · On-site

$99K - $225K/yr

Experience with Azure Synapse Analytics, Azure Data Factory, ADLS, LogicApps, and DevOps pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Midtown Group

Be Seen First

Data Scientist

Rosslyn, VA · On-site

$60/hr

Develop data and analytics solutions using AWS and/or Azure, including Databricks, Azure Data Factory, and Azure Data Lake. * Use Azure DevOps and/or GitHub to support source control, CI/CD pipelines ...

Venturegloballng

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

Perform data integration at scale with Azure Data Factory. * Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. * Work with BI ...

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All JobsAzure Data Factory JobsFull Time Azure Data Factory JobsFull Time Azure Data Factory Jobs in Washington, DC

Full Time Azure Data Factory information

See Washington, DC salary details

$12

$66

$90

How much do full time azure data factory jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for full time azure data factory in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

What is a full time Azure Data Factory job?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a full time Azure Data Factory professional?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.

What is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are the most commonly searched types of Azure Data Factory jobs in Washington, DC?

The most popular types of Azure Data Factory jobs in Washington, DC are:

What are popular job titles related to Full Time Azure Data Factory jobs in Washington, DC?

For Full Time Azure Data Factory jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Full Time Azure Data Factory jobs in Washington, DC look for?

The top searched job categories for Full Time Azure Data Factory jobs in Washington, DC are:

Full Time Azure Data Factory jobs near you
Infographic showing various Full Time Azure Data Factory job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Senior Engineer/Senior Azure Data Engineer - Azure Synapse, Databricks & Power BI

MDAEdge

Rockville, MD • On-site

$106K - $146K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary:
MDAEdge is looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake, Data Factory, Databricks, Synapse Analytics, and Power BI, and will build scalable, secure, and high-performing data platforms that drive analytics and business insights.
Responsibilities:
• Design and develop robust data pipelines using Azure Data Factory and Azure Databricks.
• Work with streaming data processing using Spark clusters in Azure Databricks.
• Manage and utilize Azure Data Lake Gen1/Gen2, Blob containers, and Azure SQL Server for data storage and processing.
• Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics.
• Implement secure data access and management using Azure Key Vault and Azure Active Directory.
• Integrate event-driven architecture using ESB, Event Grid, and Azure Functions.
• Work with Cosmos DB for NoSQL database solutions within cloud-native applications.
• Develop and publish interactive dashboards and analytics reports using Power BI.
• Ensure security, compliance, and performance of data infrastructure.
Qualifications:
Required:
• Strong experience with Azure Data Lake Gen1/Gen2
• Strong experience with Azure Data Factory
• Strong experience with Azure Databricks (including Spark clusters)
• Strong experience with Azure Synapse Analytics
• Strong experience with Azure SQL Server, Cosmos DB, Blob Storage
• Strong experience with Azure Key Vault, Azure Active Directory
• Strong experience with Azure Functions, Event Grid, ESB
• Mandatory experience with Power BI for analytics and dashboard creation
Preferred:
• Experience in building end-to-end data pipelines for big data and analytics
• Knowledge of data governance and data security best practices in Azure
• Familiarity with DevOps for Data Engineering and automation of deployments
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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